<86>Aug 1 11:42:44 userdel[242981]: delete user 'rooter' <86>Aug 1 11:42:44 userdel[242981]: removed group 'rooter' owned by 'rooter' <86>Aug 1 11:42:44 userdel[242981]: removed shadow group 'rooter' owned by 'rooter' <86>Aug 1 11:42:44 groupadd[243008]: group added to /etc/group: name=rooter, GID=675 <86>Aug 1 11:42:44 groupadd[243008]: group added to /etc/gshadow: name=rooter <86>Aug 1 11:42:44 groupadd[243008]: new group: name=rooter, GID=675 <86>Aug 1 11:42:44 useradd[243030]: new user: name=rooter, UID=675, GID=675, home=/root, shell=/bin/bash <86>Aug 1 11:42:44 userdel[243071]: delete user 'builder' <86>Aug 1 11:42:44 userdel[243071]: removed group 'builder' owned by 'builder' <86>Aug 1 11:42:44 userdel[243071]: removed shadow group 'builder' owned by 'builder' <86>Aug 1 11:42:44 groupadd[243102]: group added to /etc/group: name=builder, GID=676 <86>Aug 1 11:42:44 groupadd[243102]: group added to /etc/gshadow: name=builder <86>Aug 1 11:42:44 groupadd[243102]: new group: name=builder, GID=676 <86>Aug 1 11:42:44 useradd[243126]: new user: name=builder, UID=676, GID=676, home=/usr/src, shell=/bin/bash <13>Aug 1 11:42:46 rpmi: libruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed <13>Aug 1 11:42:46 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Aug 1 11:42:46 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Aug 1 11:42:46 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Aug 1 11:42:46 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>Aug 1 11:42:46 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Aug 1 11:42:46 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Aug 1 11:42:46 rpmi: ca-certificates-2020.06.29-alt1 sisyphus+254237.300.1.1 1593450881 installed <13>Aug 1 11:42:46 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Aug 1 11:42:46 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Aug 1 11:42:46 rpmi: libcrypto1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Aug 1 11:42:46 rpmi: libssl1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Aug 1 11:42:46 rpmi: erb-0:2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 1 11:42:46 rpmi: irb-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 1 11:42:46 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Aug 1 11:42:46 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Aug 1 11:42:46 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Aug 1 11:42:46 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Aug 1 11:42:46 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Aug 1 11:42:46 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Aug 1 11:42:46 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Aug 1 11:42:46 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Aug 1 11:42:46 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Aug 1 11:42:46 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Aug 1 11:42:46 rpmi: gem-1:3.1.2-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 1 11:42:46 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Aug 1 11:42:47 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Aug 1 11:42:47 rpmi: ruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed <13>Aug 1 11:42:48 rpmi: ruby-stdlibs-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed Building target platforms: i586 Building for target i586 Wrote: /usr/src/in/nosrpm/auto-nng-1.7-alt2_3.1.nosrc.rpm Installing auto-nng-1.7-alt2_3.1.src.rpm Building target platforms: i586 Building for target i586 Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.52908 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + rm -rf auto-nng.v1.7 + echo 'Source #0 (auto-nng.v1.7.tar.gz):' Source #0 (auto-nng.v1.7.tar.gz): + /bin/tar -xf - + /bin/gzip -dc /usr/src/RPM/SOURCES/auto-nng.v1.7.tar.gz + cd auto-nng.v1.7 + /bin/chmod -c -Rf u+rwX,go-w . + echo 'Patch #0 (auto-nng-cflags.patch):' Patch #0 (auto-nng-cflags.patch): + /usr/bin/patch -p1 -b --suffix .cflags patching file Makefile + exit 0 Executing(%build): /bin/sh -e /usr/src/tmp/rpm-tmp.52908 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + make -j8 'CFLAGS=-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' cc -pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic -o auto-nng auto-nng.c -lm auto-nng.c: In function 'main_generate': auto-nng.c:681:54: warning: 'continuous_input_stddevs' may be used uninitialized in this function [-Wmaybe-uninitialized] 681 | for (i = 0; i < continuous_input_count; i++) printf("%f, %f\n", continuous_input_averages[i], continuous_input_stddevs[i]); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:681:54: warning: 'continuous_input_averages' may be used uninitialized in this function [-Wmaybe-uninitialized] auto-nng.c:686:11: warning: 'continuous_output_stddevs' may be used uninitialized in this function [-Wmaybe-uninitialized] 686 | printf(DOUBLE_FORMAT ", " DOUBLE_FORMAT "\n", continuous_output_averages[i], continuous_output_stddevs[i]); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:686:11: warning: 'continuous_output_averages' may be used uninitialized in this function [-Wmaybe-uninitialized] auto-nng.c: In function 'main_run': auto-nng.c:771:11: warning: 'continuous_input_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] 771 | double *continuous_input_stats; | ^~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:910:140: warning: 'continuous_output_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] 910 | printf(DOUBLE_FORMAT, read_indicators(low_indicator, high_indicator) * continuous_output_stats[2*j+1] + continuous_output_stats[2*j]); | ^ auto-nng.c:904:37: warning: 'continuous_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 904 | if (continuous_output_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:897:33: warning: 'binary_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 897 | if (binary_output_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:890:36: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 890 | if (continuous_input_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:883:32: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 883 | if (binary_input_cols[j] == i) { | ~~~~~~~~~~~~~~~~~^~~ make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.58061 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + /bin/chmod -Rf u+rwX -- /usr/src/tmp/auto-nng-buildroot + : + /bin/rm -rf -- /usr/src/tmp/auto-nng-buildroot + cd auto-nng.v1.7 + mkdir -p /usr/src/tmp/auto-nng-buildroot//usr/bin/ + install auto-nng /usr/src/tmp/auto-nng-buildroot//usr/bin/ + /usr/lib/rpm/brp-alt Cleaning files in /usr/src/tmp/auto-nng-buildroot (auto) Verifying and fixing files in /usr/src/tmp/auto-nng-buildroot (binconfig,pkgconfig,libtool,desktop) Checking contents of files in /usr/src/tmp/auto-nng-buildroot/ (default) Compressing files in /usr/src/tmp/auto-nng-buildroot (auto) Verifying ELF objects in /usr/src/tmp/auto-nng-buildroot (arch=normal,fhs=normal,lfs=relaxed,lint=relaxed,rpath=normal,stack=normal,textrel=normal,unresolved=normal) verify-elf: WARNING: ./usr/bin/auto-nng: uses non-LFS functions: fopen Hardlinking identical .pyc and .pyo files Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.58061 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + make test make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' ruby auto-nng-test.rb ================================================== auto-nng v1.7 Copyright (c) 2011 Public Software Group e. V. This software is EXPERIMENTAL and comes with ABSOLUTELY NO WARRANTY. web: http://www.public-software-group.org/ ================================================== Training error: 0.997796 / Test error: 0.986541 / Layer sizes: 10 10 1 Training error: 0.995629 / Test error: 0.975287 / Layer sizes: 10 3 3 1 Training error: 0.992938 / Test error: 0.967152 / Layer sizes: 10 10 1 Training error: 0.993853 / Test error: 0.960453 / Layer sizes: 10 9 4 1 Training error: 0.993520 / Test error: 0.955327 / Layer sizes: 10 9 4 1 Training error: 0.992988 / Test error: 0.936813 / Layer sizes: 10 9 4 1 Training error: 0.992484 / Test error: 0.929552 / Layer sizes: 10 9 4 1 Training error: 0.978901 / Test error: 0.920711 / Layer sizes: 10 10 1 Training error: 0.927431 / Test error: 0.878844 / Layer sizes: 10 1 Training error: 0.923710 / Test error: 0.875341 / Layer sizes: 10 1 Training error: 0.917234 / Test error: 0.853975 / Layer sizes: 10 1 Training error: 0.847041 / Test error: 0.848894 / Layer sizes: 10 1 Training error: 0.843004 / Test error: 0.834899 / Layer sizes: 10 1 Training error: 0.830324 / Test error: 0.821280 / Layer sizes: 10 1 Training error: 0.816313 / Test error: 0.815239 / Layer sizes: 10 1 Training error: 0.788043 / Test error: 0.780591 / Layer sizes: 10 1 Training error: 0.740205 / Test error: 0.762056 / Layer sizes: 10 1 Training error: 0.726591 / Test error: 0.758021 / Layer sizes: 10 1 Training error: 0.787098 / Test error: 0.748687 / Layer sizes: 10 7 1 Training error: 0.694613 / Test error: 0.738070 / Layer sizes: 10 1 Training error: 0.685020 / Test error: 0.736966 / Layer sizes: 10 1 Training error: 0.664830 / Test error: 0.720359 / Layer sizes: 10 1 Training error: 0.657124 / Test error: 0.717036 / Layer sizes: 10 1 Training error: 0.656173 / Test error: 0.706689 / Layer sizes: 10 1 Training error: 0.649556 / Test error: 0.690576 / Layer sizes: 10 1 Training error: 0.643469 / Test error: 0.680260 / Layer sizes: 10 1 Training error: 0.589639 / Test error: 0.675502 / Layer sizes: 10 1 Training error: 0.583309 / Test error: 0.671329 / Layer sizes: 10 1 Training error: 0.640414 / Test error: 0.666815 / Layer sizes: 10 7 1 Training error: 0.638615 / Test error: 0.655774 / Layer sizes: 10 7 1 Training error: 0.567644 / Test error: 0.652146 / Layer sizes: 10 1 Training error: 0.560505 / Test error: 0.636638 / Layer sizes: 10 1 Training error: 0.557529 / Test error: 0.636151 / Layer sizes: 10 1 Training error: 0.555159 / Test error: 0.631332 / Layer sizes: 10 1 Training error: 0.533937 / Test error: 0.614829 / Layer sizes: 10 1 Training error: 0.528904 / Test error: 0.594734 / Layer sizes: 10 1 Training error: 0.525223 / Test error: 0.569141 / Layer sizes: 10 1 Training error: 0.521044 / Test error: 0.551995 / Layer sizes: 10 1 Training error: 0.518514 / Test error: 0.543085 / Layer sizes: 10 1 Training error: 0.485869 / Test error: 0.538661 / Layer sizes: 10 1 Training error: 0.480753 / Test error: 0.524913 / Layer sizes: 10 1 Training error: 0.480004 / Test error: 0.512886 / Layer sizes: 10 1 Training error: 0.479703 / Test error: 0.512841 / Layer sizes: 10 1 Training error: 0.474646 / Test error: 0.508218 / Layer sizes: 10 1 Training error: 0.473546 / Test error: 0.507538 / Layer sizes: 10 1 Training error: 0.462234 / Test error: 0.507409 / Layer sizes: 10 1 Training error: 0.460089 / Test error: 0.496304 / Layer sizes: 10 1 Training error: 0.458420 / Test error: 0.495315 / Layer sizes: 10 1 Training error: 0.456686 / Test error: 0.483361 / Layer sizes: 10 1 Training error: 0.431174 / Test error: 0.476993 / Layer sizes: 10 7 1 Training error: 0.451718 / Test error: 0.471356 / Layer sizes: 10 1 Training error: 0.450846 / Test error: 0.468617 / Layer sizes: 10 1 Training error: 0.444608 / Test error: 0.462717 / Layer sizes: 10 1 Training error: 0.442937 / Test error: 0.456041 / Layer sizes: 10 1 Training error: 0.434913 / Test error: 0.455374 / Layer sizes: 10 1 Training error: 0.429873 / Test error: 0.441498 / Layer sizes: 10 1 Training error: 0.423987 / Test error: 0.437938 / Layer sizes: 10 1 Training error: 0.421284 / Test error: 0.419831 / Layer sizes: 10 1 Training error: 0.419521 / Test error: 0.415448 / Layer sizes: 10 1 Training error: 0.418738 / Test error: 0.409170 / Layer sizes: 10 1 Training error: 0.420394 / Test error: 0.409070 / Layer sizes: 10 3 1 Training error: 0.419928 / Test error: 0.404810 / Layer sizes: 10 3 1 Training error: 0.411682 / Test error: 0.401564 / Layer sizes: 10 3 1 Training error: 0.408515 / Test error: 0.395300 / Layer sizes: 10 3 1 Training error: 0.408445 / Test error: 0.392579 / Layer sizes: 10 3 1 Training error: 0.403765 / Test error: 0.389435 / Layer sizes: 10 3 1 Training error: 0.368769 / Test error: 0.389145 / Layer sizes: 10 10 1 Training error: 0.360477 / Test error: 0.379732 / Layer sizes: 10 10 1 Training error: 0.358637 / Test error: 0.366763 / Layer sizes: 10 10 1 Training error: 0.338647 / Test error: 0.362703 / Layer sizes: 10 7 1 Training error: 0.354264 / Test error: 0.362663 / Layer sizes: 10 10 1 Training error: 0.339041 / Test error: 0.360565 / Layer sizes: 10 10 1 Training error: 0.337786 / Test error: 0.347602 / Layer sizes: 10 10 1 Training error: 0.337140 / Test error: 0.340264 / Layer sizes: 10 10 1 Training error: 0.336109 / Test error: 0.338188 / Layer sizes: 10 10 1 Training error: 0.320903 / Test error: 0.330994 / Layer sizes: 10 10 1 Training error: 0.309329 / Test error: 0.329106 / Layer sizes: 10 10 1 Training error: 0.240937 / Test error: 0.328094 / Layer sizes: 10 3 3 1 Training error: 0.141418 / Test error: 0.311209 / Layer sizes: 10 7 1 Training error: 0.217491 / Test error: 0.304580 / Layer sizes: 10 10 10 1 Training error: 0.211805 / Test error: 0.303741 / Layer sizes: 10 10 10 1 Training error: 0.208225 / Test error: 0.302233 / Layer sizes: 10 10 10 1 Training error: 0.181314 / Test error: 0.295196 / Layer sizes: 10 10 10 1 Training error: 0.174745 / Test error: 0.293810 / Layer sizes: 10 10 10 1 Training error: 0.171899 / Test error: 0.289357 / Layer sizes: 10 10 10 1 Training error: 0.167702 / Test error: 0.285126 / Layer sizes: 10 10 10 1 Training error: 0.166322 / Test error: 0.282531 / Layer sizes: 10 10 10 1 Training error: 0.165429 / Test error: 0.280194 / Layer sizes: 10 10 10 1 Training error: 0.165410 / Test error: 0.275094 / Layer sizes: 10 10 10 1 Training error: 0.161551 / Test error: 0.272705 / Layer sizes: 10 10 10 1 Training error: 0.159509 / Test error: 0.267506 / Layer sizes: 10 10 10 1 Training error: 0.158274 / Test error: 0.264233 / Layer sizes: 10 10 10 1 Training error: 0.155461 / Test error: 0.259775 / Layer sizes: 10 10 10 1 Training error: 0.154338 / Test error: 0.257556 / Layer sizes: 10 10 10 1 Training error: 0.151486 / Test error: 0.257143 / Layer sizes: 10 10 10 1 Training error: 0.149550 / Test error: 0.253990 / Layer sizes: 10 10 10 1 Training error: 0.148476 / Test error: 0.252603 / Layer sizes: 10 10 10 1 Training error: 0.133637 / Test error: 0.252236 / Layer sizes: 10 10 10 1 Training error: 0.132078 / Test error: 0.246033 / Layer sizes: 10 10 10 1 Training error: 0.122024 / Test error: 0.240520 / Layer sizes: 10 10 10 1 Training error: 0.121969 / Test error: 0.237250 / Layer sizes: 10 10 10 1 Training error: 0.073245 / Test error: 0.236146 / Layer sizes: 10 7 1 Training error: 0.055823 / Test error: 0.230021 / Layer sizes: 10 7 1 Training error: 0.084769 / Test error: 0.229294 / Layer sizes: 10 10 10 1 Training error: 0.084616 / Test error: 0.220428 / Layer sizes: 10 10 10 1 Training error: 0.083448 / Test error: 0.220018 / Layer sizes: 10 10 10 1 Training error: 0.083331 / Test error: 0.206568 / Layer sizes: 10 10 10 1 Training error: 0.083203 / Test error: 0.202806 / Layer sizes: 10 10 10 1 Training error: 0.083155 / Test error: 0.193044 / Layer sizes: 10 10 10 1 Training error: 0.083129 / Test error: 0.188420 / Layer sizes: 10 10 10 1 Training error: 0.082996 / Test error: 0.187469 / Layer sizes: 10 10 10 1 Training error: 0.082920 / Test error: 0.182051 / Layer sizes: 10 10 10 1 Training error: 0.066285 / Test error: 0.177023 / Layer sizes: 10 10 10 1 Training error: 0.064886 / Test error: 0.174462 / Layer sizes: 10 10 10 1 Training error: 0.063150 / Test error: 0.170293 / Layer sizes: 10 10 10 1 Training error: 0.061171 / Test error: 0.167203 / Layer sizes: 10 10 10 1 Training error: 0.055512 / Test error: 0.164478 / Layer sizes: 10 10 10 1 Training error: 0.048498 / Test error: 0.161667 / Layer sizes: 10 10 10 1 Training error: 0.047865 / Test error: 0.159436 / Layer sizes: 10 10 10 1 Training error: 0.047849 / Test error: 0.156905 / Layer sizes: 10 10 10 1 Training error: 0.044741 / Test error: 0.153924 / Layer sizes: 10 10 10 1 Training error: 0.038505 / Test error: 0.146986 / Layer sizes: 10 10 10 1 Training error: 0.038475 / Test error: 0.137199 / Layer sizes: 10 10 10 1 Training error: 0.037922 / Test error: 0.136895 / Layer sizes: 10 10 10 1 Training error: 0.028950 / Test error: 0.133295 / Layer sizes: 10 10 10 1 Training error: 0.025731 / Test error: 0.127835 / Layer sizes: 10 10 10 1 Training error: 0.025603 / Test error: 0.123205 / Layer sizes: 10 10 10 1 Training error: 0.000810 / Test error: 0.119364 / Layer sizes: 10 10 10 1 Training error: 0.000359 / Test error: 0.112703 / Layer sizes: 10 10 10 1 Training error: 0.000358 / Test error: 0.088246 / Layer sizes: 10 10 10 1 Training error: 0.000358 / Test error: 0.087613 / Layer sizes: 10 10 10 1 Training error: 0.000356 / Test error: 0.085947 / Layer sizes: 10 10 10 1 Training error: 0.000354 / Test error: 0.084704 / Layer sizes: 10 10 10 1 Training error: 0.000333 / Test error: 0.083360 / Layer sizes: 10 10 10 1 Training error: 0.000062 / Test error: 0.082692 / Layer sizes: 10 10 10 1 Training error: 0.000061 / Test error: 0.082629 / Layer sizes: 10 10 10 1 Training error: 0.000061 / Test error: 0.082625 / Layer sizes: 10 10 10 1 Training error: 0.000061 / Test error: 0.082613 / Layer sizes: 10 10 10 1 Training error: 0.000061 / Test error: 0.082547 / Layer sizes: 10 10 10 1 Training error: 0.000058 / Test error: 0.082531 / Layer sizes: 10 10 10 1 Training error: 0.000036 / Test error: 0.081458 / Layer sizes: 10 10 10 1 Training error: 0.000036 / Test error: 0.079360 / Layer sizes: 10 10 10 1 Training error: 0.000036 / Test error: 0.077832 / Layer sizes: 10 10 10 1 Training error: 0.000036 / Test error: 0.067730 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.041662 / Layer sizes: 10 10 10 1 Training error: 0.000001 / Test error: 0.041628 / Layer sizes: 10 10 1 Training error: 0.000001 / Test error: 0.041626 / Layer sizes: 10 10 1 Training error: 0.000001 / Test error: 0.041625 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Finishing... ================================================== auto-nng v1.7 Copyright (c) 2011 Public Software Group e. V. This software is EXPERIMENTAL and comes with ABSOLUTELY NO WARRANTY. web: http://www.public-software-group.org/ ================================================== Loading neuronal network from file "test.network.nn". Network loaded, processing data. 89.21 % correct. 10.79 % wrong. Limit: 18.03 %. Test passed. make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Processing files: auto-nng-1.7-alt2_3.1 Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.17317 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + DOCDIR=/usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + export DOCDIR + rm -rf /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + /bin/mkdir -p /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + cp -prL LICENSE README /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + chmod -R go-w /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + chmod -R a+rX /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + exit 0 Finding Provides (using /usr/lib/rpm/find-provides) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.b5cASg find-provides: running scripts (alternatives,debuginfo,lib,pam,perl,pkgconfig,python,shell) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.JPd7mg find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks,systemd-services) Requires: /lib/ld-linux.so.2, libc.so.6(GLIBC_2.0), libc.so.6(GLIBC_2.1), libc.so.6(GLIBC_2.3.4), libc.so.6(GLIBC_2.4), libm.so.6(GLIBC_2.0), libm.so.6(GLIBC_2.1), libm.so.6(GLIBC_2.29), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.hjAk6e Creating auto-nng-debuginfo package Processing files: auto-nng-debuginfo-1.7-alt2_3.1 Finding Provides (using /usr/lib/rpm/find-provides) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.bcvD7e find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.yVDjsc find-requires: running scripts (debuginfo) Requires: auto-nng = 1.7-alt2_3.1, /usr/lib/debug/lib/ld-linux.so.2.debug, debug(libc.so.6), debug(libm.so.6) Wrote: /usr/src/RPM/RPMS/i586/auto-nng-1.7-alt2_3.1.i586.rpm Wrote: /usr/src/RPM/RPMS/i586/auto-nng-debuginfo-1.7-alt2_3.1.i586.rpm 87.93user 0.49system 1:38.37elapsed 89%CPU (0avgtext+0avgdata 35756maxresident)k 0inputs+0outputs (0major+164105minor)pagefaults 0swaps 93.77user 3.48system 1:47.24elapsed 90%CPU (0avgtext+0avgdata 111004maxresident)k 0inputs+0outputs (0major+482927minor)pagefaults 0swaps --- auto-nng-1.7-alt2_3.1.i586.rpm.repo 2013-04-03 05:20:58.000000000 +0000 +++ auto-nng-1.7-alt2_3.1.i586.rpm.hasher 2020-08-01 11:44:29.635728726 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)